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1
Ensemble-based classifiers
Ensemble-based classifiers
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Ensemble-based classifiers

The Artificial intelligence review, 2010-02, Vol.33 (1-2), p.1-39 [Peer Reviewed Journal]

Springer Science+Business Media B.V. 2009 ;Springer Science+Business Media B.V. 2010 ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-009-9124-7

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2
A review of epileptic seizure detection using machine learning classifiers
A review of epileptic seizure detection using machine learning classifiers
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A review of epileptic seizure detection using machine learning classifiers

Brain informatics, 2020-05, Vol.7 (1), p.5-5, Article 5 [Peer Reviewed Journal]

The Author(s) 2020 ;COPYRIGHT 2020 Springer ;The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2198-4018 ;EISSN: 2198-4026 ;DOI: 10.1186/s40708-020-00105-1 ;PMID: 32451639

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3
Automatic denoising of functional MRI data: Combining independent component analysis and hierarchical fusion of classifiers
Automatic denoising of functional MRI data: Combining independent component analysis and hierarchical fusion of classifiers
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Automatic denoising of functional MRI data: Combining independent component analysis and hierarchical fusion of classifiers

NeuroImage (Orlando, Fla.), 2014-04, Vol.90, p.449-468 [Peer Reviewed Journal]

2014 ;2015 INIST-CNRS ;Copyright © 2014. Published by Elsevier Inc. ;Copyright Elsevier Limited Apr 15, 2014 ;ISSN: 1053-8119 ;EISSN: 1095-9572 ;DOI: 10.1016/j.neuroimage.2013.11.046 ;PMID: 24389422

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4
Machine learning classifiers and fMRI: A tutorial overview
Machine learning classifiers and fMRI: A tutorial overview
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Machine learning classifiers and fMRI: A tutorial overview

NeuroImage (Orlando, Fla.), 2009-03, Vol.45 (1), p.S199-S209 [Peer Reviewed Journal]

2008 Elsevier Inc. ;Copyright Elsevier Limited Mar 1, 2009 ;ISSN: 1053-8119 ;EISSN: 1095-9572 ;DOI: 10.1016/j.neuroimage.2008.11.007 ;PMID: 19070668

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5
ICLabel: An automated electroencephalographic independent component classifier, dataset, and website
ICLabel: An automated electroencephalographic independent component classifier, dataset, and website
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ICLabel: An automated electroencephalographic independent component classifier, dataset, and website

NeuroImage (Orlando, Fla.), 2019-09, Vol.198, p.181-197 [Peer Reviewed Journal]

2019 Elsevier Inc. ;Copyright © 2019 Elsevier Inc. All rights reserved. ;2019. Elsevier Inc. ;ISSN: 1053-8119 ;EISSN: 1095-9572 ;DOI: 10.1016/j.neuroimage.2019.05.026 ;PMID: 31103785

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6
Multi-dimensional Bayesian network classifiers: A survey
Multi-dimensional Bayesian network classifiers: A survey
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Multi-dimensional Bayesian network classifiers: A survey

The Artificial intelligence review, 2021, Vol.54 (1), p.519-559 [Peer Reviewed Journal]

Springer Nature B.V. 2020 ;COPYRIGHT 2021 Springer ;Springer Nature B.V. 2020. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-020-09858-x

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7
Image classifiers and image deep learning classifiers evolved in detection of Oryza sativa diseases: survey
Image classifiers and image deep learning classifiers evolved in detection of Oryza sativa diseases: survey
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Image classifiers and image deep learning classifiers evolved in detection of Oryza sativa diseases: survey

The Artificial intelligence review, 2021, Vol.54 (1), p.359-396 [Peer Reviewed Journal]

Springer Nature B.V. 2020 ;COPYRIGHT 2021 Springer ;Springer Nature B.V. 2020. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-020-09849-y

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8
Features and classifiers for emotion recognition from speech: a survey from 2000 to 2011
Features and classifiers for emotion recognition from speech: a survey from 2000 to 2011
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Features and classifiers for emotion recognition from speech: a survey from 2000 to 2011

The Artificial intelligence review, 2015-02, Vol.43 (2), p.155-177 [Peer Reviewed Journal]

Springer Science+Business Media Dordrecht 2012 ;COPYRIGHT 2015 Springer ;Springer Science+Business Media Dordrecht 2015 ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-012-9368-5

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9
Stochastic optimization for bayesian network classifiers
Stochastic optimization for bayesian network classifiers
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Stochastic optimization for bayesian network classifiers

Applied intelligence (Dordrecht, Netherlands), 2022-10, Vol.52 (13), p.15496-15516 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 ;The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. ;ISSN: 0924-669X ;EISSN: 1573-7497 ;DOI: 10.1007/s10489-022-03356-z

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10
Comparison of multivariate classifiers and response normalizations for pattern-information fMRI
Comparison of multivariate classifiers and response normalizations for pattern-information fMRI
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Comparison of multivariate classifiers and response normalizations for pattern-information fMRI

NeuroImage (Orlando, Fla.), 2010-10, Vol.53 (1), p.103-118 [Peer Reviewed Journal]

2010 ;Published by Elsevier Inc. ;Copyright Elsevier Limited Oct 15, 2010 ;ISSN: 1053-8119 ;EISSN: 1095-9572 ;DOI: 10.1016/j.neuroimage.2010.05.051 ;PMID: 20580933

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11
A hybrid intrusion detection system (HIDS) based on prioritized k-nearest neighbors and optimized SVM classifiers
A hybrid intrusion detection system (HIDS) based on prioritized k-nearest neighbors and optimized SVM classifiers
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A hybrid intrusion detection system (HIDS) based on prioritized k-nearest neighbors and optimized SVM classifiers

The Artificial intelligence review, 2019-03, Vol.51 (3), p.403-443 [Peer Reviewed Journal]

Springer Science+Business Media B.V. 2017 ;COPYRIGHT 2019 Springer ;Artificial Intelligence Review is a copyright of Springer, (2017). All Rights Reserved. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-017-9567-1

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12
Authorship attribution using author profiling classifiers
Authorship attribution using author profiling classifiers
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Article 		Add to My Research

Authorship attribution using author profiling classifiers

Natural language engineering, 2023-01, Vol.29 (1), p.110-137 [Peer Reviewed Journal]

The Author(s), 2022. Published by Cambridge University Press ;ISSN: 1351-3249 ;EISSN: 1469-8110 ;DOI: 10.1017/S1351324921000383

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13
Recognition language classifiers demonstrate far transfer of learning
Recognition language classifiers demonstrate far transfer of learning
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Recognition language classifiers demonstrate far transfer of learning

Psychonomic bulletin & review, 2022-08, Vol.29 (4), p.1414-1425 [Peer Reviewed Journal]

The Psychonomic Society, Inc. 2022 ;Copyright Springer Nature B.V. Aug 2022 ;ISSN: 1069-9384 ;EISSN: 1531-5320 ;DOI: 10.3758/s13423-022-02085-1

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14
Information mapping with pattern classifiers: A comparative study
Information mapping with pattern classifiers: A comparative study
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Information mapping with pattern classifiers: A comparative study

NeuroImage (Orlando, Fla.), 2011-05, Vol.56 (2), p.476-496 [Peer Reviewed Journal]

2010 Elsevier Inc. ;Copyright © 2010 Elsevier Inc. All rights reserved. ;Copyright Elsevier Limited May 15, 2011 ;2010 Elsevier Inc. All rights reserved. 2010 ;ISSN: 1053-8119 ;EISSN: 1095-9572 ;DOI: 10.1016/j.neuroimage.2010.05.026 ;PMID: 20488249

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15
Kernel nonnegative representation-based classifier
Kernel nonnegative representation-based classifier
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Kernel nonnegative representation-based classifier

Applied intelligence (Dordrecht, Netherlands), 2022, Vol.52 (2), p.2269-2289 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 ;The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021. ;ISSN: 0924-669X ;EISSN: 1573-7497 ;DOI: 10.1007/s10489-021-02486-0

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16
Concept learning using one-class classifiers for implicit drift detection in evolving data streams
Concept learning using one-class classifiers for implicit drift detection in evolving data streams
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Concept learning using one-class classifiers for implicit drift detection in evolving data streams

The Artificial intelligence review, 2021-06, Vol.54 (5), p.3725-3747 [Peer Reviewed Journal]

Springer Nature B.V. 2020 ;COPYRIGHT 2021 Springer ;Springer Nature B.V. 2020. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-020-09939-x

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17
Classification of fMRI independent components using IC- fingerprints and support vector machine classifiers
Classification of fMRI independent components using IC- fingerprints and support vector machine classifiers
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Article 		Add to My Research

Classification of fMRI independent components using IC- fingerprints and support vector machine classifiers

NeuroImage (Orlando, Fla.), 2007, Vol.34 (1), p.177-194 [Peer Reviewed Journal]

2006 Elsevier Inc. ;Copyright Elsevier Limited Jan 1, 2007 ;ISSN: 1053-8119 ;EISSN: 1095-9572 ;DOI: 10.1016/j.neuroimage.2006.08.041 ;PMID: 17070708

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18
Performance evaluation of classifiers for the recognition of offline handwritten Gurmukhi characters and numerals: a study
Performance evaluation of classifiers for the recognition of offline handwritten Gurmukhi characters and numerals: a study
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Article 		Add to My Research

Performance evaluation of classifiers for the recognition of offline handwritten Gurmukhi characters and numerals: a study

The Artificial intelligence review, 2020-03, Vol.53 (3), p.2075-2097 [Peer Reviewed Journal]

Springer Nature B.V. 2019 ;COPYRIGHT 2020 Springer ;Artificial Intelligence Review is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-019-09727-2

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19
A Bronchial Genomic Classifier for the Diagnostic Evaluation of Lung Cancer
A Bronchial Genomic Classifier for the Diagnostic Evaluation of Lung Cancer
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Article 		Add to My Research

A Bronchial Genomic Classifier for the Diagnostic Evaluation of Lung Cancer

The New England journal of medicine, 2015-07, Vol.373 (3), p.243-251 [Peer Reviewed Journal]

Copyright © 2015 Massachusetts Medical Society. All rights reserved. ;ISSN: 0028-4793 ;EISSN: 1533-4406 ;DOI: 10.1056/NEJMoa1504601 ;PMID: 25981554

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20
Semi-supervised learning for k-dependence Bayesian classifiers
Semi-supervised learning for k-dependence Bayesian classifiers
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Article 		Add to My Research

Semi-supervised learning for k-dependence Bayesian classifiers

Applied intelligence (Dordrecht, Netherlands), 2022-03, Vol.52 (4), p.3604-3622 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 ;The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021. ;ISSN: 0924-669X ;EISSN: 1573-7497 ;DOI: 10.1007/s10489-021-02531-y

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